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Vol-1888
urn:nbn:de:0074-1888-2
Copyright ©
2017 for the individual papers
by the papers' authors. Copying permitted for private and academic purposes.
This volume is published and copyrighted by its editors.
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BIRNDL 2017
Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries
Proceedings of the 2nd Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2017)
co-located with the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017)
Tokyo, Japan, August 11, 2017.
Edited by
*
GESIS - Leibniz Institute for the Social Sciences, Knowledge Technologies for the Social Sciences, Cologne, Germany
**
National University of Singapore, Singapore
*** University of Pennsylvania, USA
Table of Contents
Full papers
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Can we do better than Co-Citations? - Bringing Citation Proximity Analysis from idea to practice in research article recommendation
14-25
Petr Knoth, Anita Khadka
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MultiScien: a Bi-Lingual Natural Language Processing System for Mining and Enrichment of Scientific Collections
26-40
Horacio Saggion, Francesco Ronzano, Pablo Accuosto, Daniel Ferrés
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Identifying Problems and Solutions in Scientific Text
41-55
Kevin Heffernan, Simone Teufel
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Identifying Collaborations among Researchers: a pattern-based approach
56-68
Luca Cagliero, Paolo Garza, Mohammad Reza Kavoosifar, Elena Baralis
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Automatic Generation of Review Matrices as Multi-document Summarization of Scientific Papers
69-82
Hayato Hashimoto, Kazutoshi Shinoda, Hikaru Yokono, Akiko Aizawa
Short papers
Poster papers
2017-08-07: submitted by Philipp Mayr,
metadata incl. bibliographic data published under Creative Commons CC0
2017-08-07: published on CEUR-WS.org
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